Similarities and differences in motion processing between the human and macaque brain: evidence from fMRI
Introduction
Motion has attracted a lot of interest in psychology and also neuroscience, as witnessed by the present special issue. One reason is that motion processing has many behavioral functions (Nakayama, 1985). Motion processing gives rise to perception of object motion and of self-motion. It is also used to control eye movements, pursuit and optokinetic nystagmus, as well as to guide movements of body parts and locomotion. Finally, it gives rise to the perception of two-dimensional (2D) shape (kinetic boundaries) and allows the extraction of three-dimensional (3D) structure (the kinetic depth effect and motion parallax). A second important reason for the continuing interest in motion processes is that direction selective cells have been identified as potential neural substrates of motion processing in striate cortex (Hubel & Wiesel, 1962) and extrastriate cortex (Allman and Kaas, 1971, Dubner and Zeki, 1971).
When attempting to relate human perception to single neurons recorded in the wake macaque one faces two important issues. The first concerns the part of the monkey brain where single neurons should be recorded from. For motion processing the standard answer has been MT/V5 (Britten, Shadlen, Newsome, & Movshon, 1992), because almost all MT/V5 neurons are direction selective (Albright, 1984; Dubner and Zeki, 1971, Lagae et al., 1994). Other regions also contain sizeable proportions of direction selective neurons and have received less attention (see Celebrini & Newsome, 1994). The second question relates to the homology between cortical areas explored with single-cell recording in the monkey and cortical regions in the human brain. Functional imaging, positron emission tomography (PET) and more recently, functional magnetic resonance imaging (fMRI) may help solve these two issues. Indeed, functional imaging reveals the overall pattern of regions involved in behavioral functions. In fact, fMRI and single-cell studies complement each other by operating at different levels of integration (Churchland & Sejnowski, 1988). The microelectrode provides a detailed account of the properties of single neurons, whereas the fMRI signals presumably reflect the pooled activity of large populations of neurons. Hence, most recent imaging studies in humans try to relate their findings to single-cell properties. For example, when we reported that several regions in the human brain in addition to hMT/V5+ were sensitive to motion (Dupont, Orban, De Bruyn, Verbruggen, & Mortelmans, 1994), we related this finding to the many monkey cortical areas which contain sizable proportions of direction selective neurons. This assumes, however, that there is a one-to-one relationship between the different monkey cortical areas, e.g. the 30 or so extrastriate areas, and their human counterparts.
We know that a complete homology between cortical areas of humans and monkeys is highly unlikely, given the anatomical and behavioral differences between the two species, and the 30 million years that separate the emergence of the two species during evolution. Until recently, we had no technique to identify those cortical areas where the homology holds up and those where it does not. fMRI in the awake monkey holds the potential to resolve this issue and provides the missing link between human functional imaging and monkey single-cell recording. Although several groups have reported imaging in awake monkeys (Dubowitz et al., 1998; Logothetis, Guggenberger, Peled, & Pauls, 1999; Stefanacci et al., 1998), systematic studies have appeared only recently (Leite et al., 2002; Nakahara, Hayashi, Konishi, & Miyashita, 2002; Vanduffel et al., 2001, Vanduffel et al., 2002). The more recent ones (Nakahara et al., 2002, Vanduffel et al., 2002) have also explicitly compared functional maps in human and non-human primates. This interspecies comparison for cortical regions involved in motion processing is the topic of the present report. It includes two sets of studies: those using simple random dot translation and those related to the extraction of 3D structure from motion. The latter draws on the material reported in Vanduffel et al. (2002), and to a lesser degree on the preceding human study (Orban, Sunaert, Todd, van Hecke, & Marchal, 1999). The translation part combines the two reports that dealt with human and monkey fMRI separately: Sunaert, van Hecke, Marchal, & Orban (1999) and Vanduffel et al. (2001), respectively. Initially, Vanduffel et al. (2001) emphasized the similarity between the activation pattern in the two species, with the exception of V3A. Yet, further experiments and the insight from the 3D structure from motion study have made it clear that the cortical networks processing translation stimuli include regions that are similar in the two species and others that are dissimilar. The part of the visual system that differs between humans and monkeys for both types of stimuli includes not only V3A, but also, and perhaps even more prominently, the intraparietal sulcus (IPS).
Section snippets
Methods
The detailed description of the methods is given in the original publications (Sunaert et al., 1999; Vanduffel et al., 2001, Vanduffel et al., 2002). Only a brief summary is given here.
Motion sensitivity in human cortex: translating random dots
Only six subjects participated in the initial study of Sunaert et al. (1999). Since then, we have systematically tested the motion sensitivity in many human subjects, collecting two time series with stationary and moving RDs. Here, we present the results of the random effects analysis of 30 subjects (Fig. 1, Table 1), which confirms fully the original study. Motion sensitivity was observed in four occipital regions including the human MT/V5 complex in the ascending limb of the ITS (Dupont,
Discussion
Motion sensitivity has been tested in humans with a variety of moving stimuli: translating gratings (e.g. Dupont et al., 1994 and Tootell et al., 1995a), translating random dots (Sunaert et al., 1999, Watson et al., 1993, Zeki et al., 1991), expanding and contracting circular gratings (Tootell et al., 1995b), expanding and contracting random dot patterns (Huk et al., 2002), and these stimuli have been presented in a wide variety of sizes. Little is know about how these variations in stimulus
Acknowledgements
The technical help of Y. Celis, A. Coeman, M. De Paep, W. Depuydt, C. Fransen, P. Kayenbergh, G. Meulemans and G. Vanparrijs is kindly acknowledged. This work was supported by the Queen Elisabeth medical foundation (GSKE), FWO G 0112.00, GOA 2000/11, IUAP P5/04 and EU project MAPAWAMO. W.V. is a research fellow of the FWO.
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